Spatial processing stereo system

Abstract

A spatial processing stereo system (“SPSS”) that receives audio signals and a limited number of user input parameters associated with the spatial attributes of a room, such as “room size”, “stage distance”, and “stage width”. The input parameters are used to define a listening room and generate coefficients, room impulse responses, and scaling factors that are used generate additional surround signals.

Description

BACKGROUND[0001]1. Field of the Invention[0002]The invention is generally related to a sound generation approach that generates spatial sounds in a listening room. In particular, the invention relates to modeling with only a few user input parameters the listening room responses for a two-channel audio input based upon adjustable real-time parameters without coloring the original sound.[0003]2. Related Art[0004]The aim of a high-quality audio system is to faithfully reproduce a recorded acoustic event while generating a three-dimensional listening experience without coloring the original sound, in places such as a listening room, home theater or entertainment center, personal computer (PC) environment, or automobile. The audio signal from a two-channel stereo audio system or device is fundamentally limited in its ability to provide a natural three-dimensional listening experience, because only two frontal sound sources or loudspeakers are available. Phantom sound sources may only ap...

AI Technical Summary

Problems solved by technology

The audio signal from a two-channel stereo audio system or device is fundamentally limited in its ability to provide a natural three-dimensional listening experience, because only two frontal sound sources or loudspeakers are available.

However, a very high number of parameters are needed to describe and adjust such an algorithm in the AVR to match a listening room and type of music.

Such adjustments are very difficult and time-consuming for an average person or consumer seeking to find an optimum setting for a particular type of music.

But, the problem with such an approach it the pre-programmed sound fields lack any optimization for the actual listening room.

But, such an approach to generating sound channels has several drawbacks.

Sound sources may move undesirably due to dynamic steering and only one dominant, discrete source is typically detected.

This approach also fails to enhance very dryly recorded music, because such source material does not contain enough ambient signal information to be extracted.

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